1) Programming fundamentals
Strong command of one systems language and one high-level language (e.g., Python, Java, JavaScript) enables problem-solving, automation, and product work across stacks.
Pair language skills with algorithms, data structures, testing, and version control to move from syntax to reliable software delivery.
2) Data structures and algorithms
Master arrays, hash maps, trees/graphs, recursion, sorting/searching, and complexity analysis to pass interviews and design efficient solutions.
Daily problem practice on competitive platforms builds reasoning speed and code clarity for real projects.
3) Cloud computing
Learn core services on AWS/Azure/GCP, identities, networking, storage, containers, and serverless to deploy resilient apps at scale.
Hands-on labs with IaC and cost-aware architectures signal readiness for modern delivery environments.
4) Cybersecurity basics
Apply secure coding, OWASP awareness, identity and access management, encryption, and incident response fundamentals across projects.
Demonstrate threat modeling and vulnerability remediation to align with enterprise risk expectations.
5) Data analytics and SQL
Use SQL, dashboards, and basic statistics to query, visualize, and interpret product and system data for decisions.
Bridge data to action by defining KPIs, experimenting, and communicating insights clearly to teams.
6) AI/ML literacy
Understand model types, prompt design, evaluation, and safe integration of AI tools in the SDLC for productivity and reliability.
Showcase responsible usage with documentation, privacy considerations, and human-in-the-loop design.
7) DevOps and CI/CD
Automate build, test, and deploy pipelines; monitor performance; and embrace feedback loops for fast, stable releases.
Combine containers, IaC, and observability to operate services confidently.
8) Networking and operating systems
Grasp TCP/IP, DNS, HTTP, Linux fundamentals, processes, memory, and filesystems to debug real-world stack issues.
Hands-on with shells, scripting, and basic admin tasks improves reliability and incident response.
9) Software design and documentation
Model systems with clear interfaces, error handling, and testing strategy, and maintain precise documentation for teams.
Readable code and living docs reduce onboarding time and defects across the lifecycle.
10) Communication and teamwork
Present technical trade-offs, write concise updates, and collaborate across roles—skills that accelerate delivery and hiring success.
Combine soft skills with a project portfolio to stand out in competitive placements.
How to learn fast
- Build a capstone that deploys to cloud, includes CI/CD, basic monitoring, and a security checklist.
- Practice DSA 30–60 minutes daily and ship weekly feature iterations with documentation.
- Earn one entry credential each in cloud, security, and data to validate skills for recruiters.
Suggested roadmap (12 weeks)
- Weeks 1–4: Language + DSA + SQL basics; start a simple web service.
- Weeks 5–8: Cloud deploy, CI/CD, logging/metrics; add auth and role-based access.
- Weeks 9–12: Add AI feature (summarization or recommendations), harden security, write docs, and publish a demo.